Drop Unspecified Variables — drop_unspec

This function drops all unspecified variables. It will throw and error if the dataset does not contain all expected variables.

Usage

drop_unspec_vars(dataset, metacore, dataset_name = deprecated())

Arguments

dataset: Dataset to change
metacore: metacore object that only contains the specifications for the dataset of interest.
dataset_name: Optional string to specify the dataset. This is only needed if the metacore object provided hasn't already been subsetted.
Note: Deprecated in version 0.2.0. The dataset_name argument will be removed in a future release. Please use metacore::select_dataset to subset the metacore object to obtain metadata for a single dataset.

Value

Dataset with only specified columns

Examples

library(metacore)
library(haven)
library(dplyr)
load(metacore_example("pilot_ADaM.rda"))
spec <- metacore %>% select_dataset("ADSL")
#> Warning: `core` from the `ds_vars` table only contains missing values.
#> Warning: `supp_flag` from the `ds_vars` table only contains missing values.
#> Warning: `common` from the `var_spec` table only contains missing values.
#> Warning: `where` from the `value_spec` table only contains missing values.
#> Warning: `dataset` from the `supp` table only contains missing values.
#> Warning: `variable` from the `supp` table only contains missing values.
#> Warning: `idvar` from the `supp` table only contains missing values.
#> Warning: `qeval` from the `supp` table only contains missing values.
#> ✔ ADSL dataset successfully selected
#> 
data <- read_xpt(metatools_example("adsl.xpt")) %>%
  select(USUBJID, SITEID) %>%
  mutate(foo = "Hello")
drop_unspec_vars(data, spec)
#> The following variable(s) were dropped:
#>   foo
#> # A tibble: 254 × 2
#>    USUBJID     SITEID
#>    <chr>       <chr> 
#>  1 01-701-1015 701   
#>  2 01-701-1023 701   
#>  3 01-701-1028 701   
#>  4 01-701-1033 701   
#>  5 01-701-1034 701   
#>  6 01-701-1047 701   
#>  7 01-701-1097 701   
#>  8 01-701-1111 701   
#>  9 01-701-1115 701   
#> 10 01-701-1118 701   
#> # ℹ 244 more rows